Marcio Cunha

How to audit AWS IAM permissions and find flaws with Prowler

Learn how to run automated security scans on AWS using Prowler to map identity gaps and excessive access privileges.

Marcio Cunha•3 min
Also available in:PortuguêsEspañol
Summary
  • Regular IAM audits prevent silent vulnerabilities across cloud infrastructure environments
  • Prowler automates hundreds of security and compliance checks natively on AWS
  • Identifying active and unused access keys drastically reduces the risk of breaches
  • Overly permissive policies give attackers a free pass to exploit critical cloud assets
  • Running continuous scans guarantees total visibility over your cloud security posture

Why auditing cloud permissions and access is urgent

Working with cloud environments brings a constant feeling of power, but also of invisible vulnerability. On Amazon Web Services (AWS), managing who can do what through IAM (Identity and Access Management, the system controlling identities and permissions) is a delicate task. If an access key leaks or a developer gets more powers than necessary, the entire infrastructure becomes exposed. In practice, this means your front door might be unlocked without anyone noticing.

Many teams rely solely on intuition or manual setups to protect data, which paves the way for severe human errors. This is precisely where specialized auditing tools become indispensable for technical survival. Just as we monitor system resources to prevent bottlenecks or fix container memory crashes, access security requires rigorous and automated checks from end to end.

What Prowler is and how it protects your infrastructure

Prowler is an open-source security tool focused on scanning, compliance, and hardening for cloud environments. It acts as an automated inspector roaming your AWS account searching for dozens of deviations from best practices and international standards. Instead of opening console after console to check access policies, you run a command and get a complete X-ray of what is wrong.

Under the hood, the tool runs hundreds of checks based on frameworks like CIS (Center for Internet Security), GDPR, and internal security guidelines. It checks if users lack multi-factor authentication, if old access keys were forgotten, or if overly permissive policies were applied by mistake. For those seeking operational excellence, Prowler complements other engineering routines, working similarly to network inspection or automating PostgreSQL cloud backups to ensure operational resilience.

Preparing the environment and installing the tool

Before running the tool, we must ensure it has proper credentials to inspect the environment without causing operational impact. Prowler needs read permissions on your AWS account to audit security configurations, but it never modifies anything by default. You can easily install it on your local machine or an automation server using Python or a dedicated Docker container.

The most practical way to start is using Python's pip package manager or running the official container directly in your workspace terminal. Below are the basic steps to prepare and trigger your first safe and controlled scan in your corporate environment.

  1. Open your terminal and install Prowler via pip inside an isolated environment using the command:
    pip install prowler
  2. Configure your temporary or read-only AWS access credentials using standard environment variables:
    export AWS_ACCESS_KEY_ID="your-key" && export AWS_SECRET_ACCESS_KEY="your-secret"
  3. Run the scan focusing specifically on identity services with the command:
    prowler aws --services iam

Interpreting results and fixing critical vulnerabilities

Once execution finishes, Prowler generates detailed reports in formats like CSV, JSON, and HTML, filled with color codes indicating the severity of each finding. Items marked in red or failing status require immediate attention because they represent open doors for attackers. It is common to find old test accounts with supreme administrator privileges or keys that were never rotated since the project started.

The secret to effective remediation is prioritizing what poses real systemic risk to operations, such as wildcard permissions (the famous * allowing any action on any resource). Fixing these flaws drastically reduces your infrastructure attack surface. Over time, these scans can be integrated into continuous integration pipelines, ensuring no misconfigured resource ever reaches production.

Final thoughts on continuous cloud security

Maintaining access security on AWS is not a one-time event we do once and forget, but rather a continuous, living process. As new developers join and new services are created, complexity increases and the risk of configuration drift grows at the same pace. Using tools like Prowler democratizes access to best practices that previously required entire dedicated audit teams.

By adopting a culture of automated scans and rapid remediation, engineering gains speed without sacrificing operational peace of mind. After all, knowing exactly who accesses what in the cloud is the indispensable foundation for building resilient, reliable, and truly secure systems against modern threats.